How to Make Google Trends Data Actually Usable for Machine Learning

A talk by Leigh Collier from Evil Works Google Trends data is messy. It's normalised, it's abstracted and it's aggregated to a very coarse layer. In this talk we'll discuss how to turn Google Trends snapshot into large datasets you can actually use to compare terms across countries in a meaningful way by using a chaining methodology and borrowing tech from the world of Finance. In this talk the attendees will learn how to generalise the concept of an ETF from finance to google trends data, how to handle normalised data to behave in a more real world way and in doing so learn how viewing a problem from a different angle, or taking knowledge from different domains, can unlock new innovative data science techniques. Technical Level: Technical practitioner This session was part of the Data Science Festival Big Birthday Bash event 2026. Find out more at https://datasciencefestival.com/event... The Data Science Festival is the place for data-driven people to come together, share cutting-edge ideas, and solve real-world problems. We run monthly events, meet-ups, and the biggest free-to-attend data festivals in the UK. Join the community at https://datasciencefestival.com/ Would you like to learn how your organisation could partner with and support DSF events? Click the link below! https://datasciencefestival.com/becom...